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Wireless Personal Communications
Published in: Wireless Personal Communications 3/2017

10-08-2016

Entropy Based Image Segmentation for Energy Efficient LTE System with Cloud

Authors: Anshu Mittal, Chinmoy Kundu, Ranjan Bose, R. K. Shevgaonkar

Published in: Wireless Personal Communications | Issue 3/2017

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Abstract

Nowadays LTE network provides high speed data transmission for advanced web based applications and consumes lot of energy. Energy consumption needs to be minimized for a mobile devices running on batteries. In this paper, we have considered a problem of minimizing total energy consumption of a mobile device transmitting an image to cloud through LTE network with a specific bit error rate requirement. Total energy consumption per information bit is calculated by measuring computation energy, circuit energy and radio energy. We have also proposed an algorithm to minimize the total energy consumption while transferring the image. The algorithm makes use of the information entropy of the segments that the image contains. We have also given the complexity of the algorithm in terms of the total number of required operations. As compared to the energy required for transferring the fully uncompressed or fully compressed image, our optimized algorithm can save upto 26 % energy. Energy saving depends on transmission distance and required bit error rate.
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Metadata
Title
Entropy Based Image Segmentation for Energy Efficient LTE System with Cloud
Authors
Anshu Mittal
Chinmoy Kundu
Ranjan Bose
R. K. Shevgaonkar
Publication date
10-08-2016
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2017
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3598-9

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